CPT® Code 0542T

Myocardial imaging by magnetocardiography (MCG) for detection of cardiac ischemia, by signal acquisition using minimum 36 channel grid, generation of magnetic-field time-series images, quantitative analysis of magnetic dipoles, machine learning-derived clinical scoring, and automated report generation, single study; interpretation and report

Magnetocardiography (MCG) is a sophisticated non-invasive diagnostic procedure designed to assess the heart's electrical activity and detect potential cardiac ischemia. This technique employs advanced technology, specifically superconducting quantum interference devices (SQUIDS), to capture and visualize real-time magnetic field maps generated by the electrical currents within the heart. MCG is particularly valuable for the early identification of heart diseases, including coronary artery disease (CAD), even before symptoms manifest. Additionally, it serves multiple clinical purposes, such as guiding treatment strategies for CAD, identifying arrhythmias like atrial fibrillation, mapping accessory pathways in the atria and ventricles, and monitoring patients for recurrent cardiovascular disease following revascularization therapies. Furthermore, MCG can stratify an individual's risk for sudden cardiac death by providing insights into the electrophysiologic state of the heart. During the procedure, the patient is positioned comfortably on a bed with electrocardiogram (EKG) leads attached to the chest. A specialized MCG sensor head is then placed over the precordial area, close to the skin, to collect data from a grid of 36 positions within a 20 x 20 cm area. As the bed moves beneath the sensor, data is gathered and subsequently processed through a software program that calculates an average cardiac cycle for each position. This analysis includes the evaluation of 40 magnetic vectors at evenly spaced intervals around the peak of the T waves, focusing on both pre-peak and post-peak repolarization. The effective magnetic dipole vector (EMDV) analysis is particularly crucial, as it automates the assessment of ventricular repolarization, providing a comprehensive understanding of the heart's electrical activity and potential ischemic conditions.